36 practice questions with answers for Java interviews in Delhi.
Java jobs in Delhi
Delhi NCR has one of India's biggest pools of IT, consulting, banking and start-up jobs. Delhi itself hosts many corporate, government-tech and consulting offices, and most candidates also apply across Noida and Gurgaon, so interviews here mix service-company and product-company styles.
Below are 36 questions that match the mix of service, product and domain employers hiring java developers in Delhi.
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01
What is the N+1 select problem in Hibernate and how do you fix it?
N+1 happens when you load N parent entities with one query and then a lazy association triggers one extra query per parent, giving N+1 queries. Fix it with a JOIN FETCH in JPQL, an @EntityGraph on the repository method, or batch fetching with @BatchSize or hibernate.default_batch_fetch_size. Detect it by enabling SQL logging or using a query count assertion in tests.
The simplest safe options are an enum or the holder idiom.
public class Config {
private Config() {}
private static class Holder {
static final Config INSTANCE = new Config();
}
public static Config getInstance() {
return Holder.INSTANCE;
}
}
The JVM loads Holder lazily and class initialisation is thread safe. An enum singleton also resists reflection and serialization attacks.
03
Clients report duplicate orders when they retry after a timeout. How do you prevent it?
Make the create order API idempotent. The client sends an Idempotency-Key header; the server stores the key with the result in a table with a unique constraint or in Redis. A retry with the same key returns the saved response instead of creating a new order. Database unique constraints on business keys add another safety net.
04
Implement a producer-consumer using BlockingQueue.
Check that the exception is unchecked, since checked exceptions do not roll back unless rollbackFor is set. Check that the method is called through the Spring proxy, not from another method in the same class. Make sure the method is public and the exception is not caught and swallowed inside. Also confirm the database engine supports transactions and the right transaction manager is used.
06
What are virtual threads and when should you use them?
Virtual threads, final in Java 21, are lightweight threads managed by the JVM and mounted on a small pool of carrier OS threads. When one blocks on I/O, it unmounts so the carrier can run another. You can run millions of them, which suits thread-per-request servers doing lots of blocking calls. They do not speed up CPU-bound work, and you should not pool them.
07
Find the second highest salary from a list of employees using streams.
Sort distinct salaries in descending order and skip one.
Optional<Integer> second = employees.stream()
.map(Employee::salary)
.distinct()
.sorted(Comparator.reverseOrder())
.skip(1)
.findFirst();
This returns empty if fewer than two distinct salaries exist. For huge data a single pass tracking top two is O(n).
A functional interface has exactly one abstract method, so it can be implemented with a lambda or method reference. It may also have default and static methods. Examples are Runnable, Comparator, and those in java.util.function: Function, Predicate, Consumer, Supplier and BiFunction. The @FunctionalInterface annotation makes the compiler enforce the single abstract method rule.
09
What is the difference between Collectors.toMap() and groupingBy()?
toMap() creates one entry per element using key and value functions and throws IllegalStateException on duplicate keys unless you give a merge function. groupingBy() collects all elements with the same key into a List by default, or applies a downstream collector like counting or summingInt. Use toMap for unique keys like id and groupingBy for categories like city.
10
How does ExecutorService work and why use a thread pool?
ExecutorService manages a pool of worker threads and a task queue. You submit Runnable or Callable tasks and get Futures, and workers reuse threads instead of creating one per task, which saves creation cost and limits concurrency. Configure core size, max size, queue and rejection policy through ThreadPoolExecutor. Always call shutdown() and awaitTermination() when done.
11
Write code that runs 10,000 blocking tasks using virtual threads.
Use the virtual-thread-per-task executor in Java 21.
try (var ex = Executors.newVirtualThreadPerTaskExecutor()) {
for (int i = 0; i < 10_000; i++) {
int id = i;
ex.submit(() -> {
Thread.sleep(Duration.ofMillis(200));
return id;
});
}
} // close() waits for all tasks
All tasks finish in about 200 ms because blocked virtual threads free their carriers.
12
Write a sealed interface with records and a switch that computes area.
The switch needs no default because the type set is closed.
sealed interface Shape permits Circle, Rect {}
record Circle(double r) implements Shape {}
record Rect(double w, double h) implements Shape {}
static double area(Shape s) {
return switch (s) {
case Circle c -> Math.PI * c.r() * c.r();
case Rect(double w, double h) -> w * h;
};
}
13
How do you take a thread dump and a heap dump of a running Java process?
Find the process id with jps or ps, then use jcmd, which is the recommended tool.
jps -l
jcmd <pid> Thread.print > threads.txt
jcmd <pid> GC.heap_dump /tmp/heap.hprof
Older tools jstack and jmap do the same. Take three thread dumps a few seconds apart to spot stuck threads, and analyse heap dumps in Eclipse MAT.
14
Write a Java program to check whether a number is prime.
Check divisibility only up to the square root, which makes it O(sqrt n).
public static boolean isPrime(int n) {
if (n < 2) return false;
if (n % 2 == 0) return n == 2;
for (int i = 3; (long) i * i <= n; i += 2) {
if (n % i == 0) return false;
}
return true;
}
The long cast avoids overflow for large n.
15
Write a JPQL query that returns a DTO projection instead of entities.
Projections load only needed columns and avoid dirty checking.
public record OrderSummary(Long id, String customer, long total) {}
@Query("""
select new com.shop.OrderSummary(o.id, c.name, o.total)
from Order o join o.customer c
where o.createdAt >= :from
""")
List<OrderSummary> summaries(@Param("from") LocalDate from);
Interface-based projections in Spring Data are another option.
16
Tell me about a time you improved performance by choosing a better data structure.
Situation: a report job matching 2 lakh transactions to customers took 40 minutes. Task: bring it under the 5 minute window. Action: profiling showed list.contains() inside a loop, which was O(n squared). I loaded customer ids into a HashSet and grouped transactions with a HashMap. Result: runtime dropped to 50 seconds and I shared the pattern in our team wiki.
17
A HashMap shared by many threads sometimes loses updates. How do you fix it?
HashMap is not thread safe, so concurrent put calls can overwrite each other. Replace it with ConcurrentHashMap and use atomic methods instead of get-then-put, for example counts.merge(key, 1, Integer::sum) or computeIfAbsent for lazy creation. Collections.synchronizedMap also works but locks the whole map, which hurts throughput under contention.
18
What is the difference between an abstract class and an interface in modern Java?
An abstract class can have state (instance fields), constructors and any access modifier, and a class can extend only one. An interface has no instance state but, since Java 8, can have default and static methods, and since Java 9 private methods; a class can implement many. Use an interface for a capability contract and an abstract class to share code and state among closely related classes.
19
Flatten a list of lists of integers and compute the sum of squares of the even numbers.
flatMap then use a primitive stream to avoid boxing.
int result = lists.stream()
.flatMap(List::stream)
.filter(n -> n % 2 == 0)
.mapToInt(n -> n * n)
.sum();
mapToInt returns an IntStream, whose sum() is simpler and faster than reduce on boxed Integers.
singleton is the default: one instance per application context. prototype creates a new instance each time it is requested. Web scopes include request, session and application. Singletons must be stateless or thread safe because all requests share them. Injecting a prototype into a singleton gives only one instance, so use ObjectProvider or a scoped proxy to get fresh ones.
21
Use CountDownLatch to wait for three worker threads to finish.
The main thread waits until the count reaches zero.
CountDownLatch latch = new CountDownLatch(3);
for (int i = 0; i < 3; i++) {
new Thread(() -> {
try { doWork(); }
finally { latch.countDown(); }
}).start();
}
latch.await(30, TimeUnit.SECONDS);
System.out.println("all done");
countDown in finally makes sure the latch is released even on error.
22
Describe a time you had to learn a new technology quickly.
Situation: I joined a project using reactive Spring WebFlux with no prior experience. Task: contribute within two weeks. Action: I studied Project Reactor basics, built a small practice service, paired with a senior on my first ticket and kept notes on common operators. Result: I delivered my first feature in the second week and later wrote the team guide on avoiding blocking calls in reactive code.
23
Write a minimal Dockerfile for a Spring Boot application.
A multi-stage build keeps the image small.
FROM eclipse-temurin:21-jdk AS build
WORKDIR /app
COPY . .
RUN ./mvnw -q package -DskipTests
FROM eclipse-temurin:21-jre
WORKDIR /app
COPY --from=build /app/target/*.jar app.jar
EXPOSE 8080
ENTRYPOINT ["java", "-XX:MaxRAMPercentage=75", "-jar", "app.jar"]
Spring Boot can also build images without a Dockerfile using mvn spring-boot:build-image.
24
Describe a situation where you had to deliver under a tight deadline.
Situation: a bulk upload feature had to go live in four days for a client launch. Task: build it safely in time. Action: I split it into must-have and later items, used an ExecutorService to process rows in parallel, wrote focused tests for validation and kept the product owner updated daily. Result: we shipped on time, it handled 50,000 rows in under two minutes and we added the extras next sprint.
25
Write a JDBC method to fetch a user by email safely.
Situation: I was preparing for product company interviews while working. Task: get strong at DSA in limited time. Action: I solved two problems a day by pattern, such as sliding window and graphs, always in Java with Collections, timed myself and reviewed mistakes every weekend. Result: in three months I solved 250 problems, cleared online tests comfortably and could explain time complexity clearly.
27
Using streams, find the employee with the highest salary in each department.
Group by department with a maxBy downstream collector.
Map<String, Optional<Employee>> top = employees.stream()
.collect(Collectors.groupingBy(
Employee::department,
Collectors.maxBy(Comparator.comparingInt(Employee::salary))));
To get values without Optional, wrap with collectingAndThen(maxBy(...), Optional::get), which is safe because each group has at least one element.
28
Write a record with validation in its compact constructor.
A compact constructor runs before fields are assigned.
public record Money(String currency, long paise) {
public Money {
Objects.requireNonNull(currency);
if (paise < 0) {
throw new IllegalArgumentException("negative amount");
}
}
public Money add(Money o) {
return new Money(currency, paise + o.paise);
}
}
Storing money in paise as long avoids floating point errors.
29
Your service throws OutOfMemoryError: Java heap space in production. How do you investigate?
First capture evidence: enable -XX:+HeapDumpOnOutOfMemoryError and check GC logs to see if heap grows steadily, which signals a leak, or spikes, which signals a large request. Analyse the heap dump in Eclipse MAT or VisualVM and look at the dominator tree for big retainers like static maps or caches. Fix the leak or bound the cache, then increase -Xmx only if the real workload needs it.
30
Implement the Builder pattern for a User class with many optional fields.
A builder avoids long constructors.
public class User {
private final String name; private final int age;
private User(Builder b) { name = b.name; age = b.age; }
public static class Builder {
private String name; private int age;
public Builder name(String n) { name = n; return this; }
public Builder age(int a) { age = a; return this; }
public User build() { return new User(this); }
}
}
Usage: new User.Builder().name("Asha").age(25).build(). Lombok @Builder generates this.
31
Legacy code uses anonymous classes and loops everywhere. How would you modernise it safely?
First add tests around the behaviour. Then refactor in small steps: anonymous Comparators and Runnables become lambdas, simple loops that filter and transform become streams, and null checks around returns become Optional where useful. Keep complex loops with early exits as loops if a stream is less readable. Use IDE refactorings and review each change to avoid altering behaviour.
32
What is the difference between HashMap and ConcurrentHashMap?
HashMap is not thread safe; concurrent writes can lose data or corrupt the structure. ConcurrentHashMap supports full concurrency: reads are lock free and writes use CAS or lock a single bin, so threads rarely block each other. It does not allow null keys or values. It also provides atomic compound operations such as computeIfAbsent and merge, which avoid check-then-act races.
At startup Spring Boot reads auto-configuration classes listed in META-INF/spring/org.springframework.boot.autoconfigure.AutoConfiguration.imports. Each class uses conditions like @ConditionalOnClass, @ConditionalOnMissingBean and @ConditionalOnProperty, so it creates beans only when the library is on the classpath and you have not defined your own. Run with --debug to see the condition report showing what was applied and why.
34
What is the difference between synchronized and ReentrantLock?
synchronized is a built-in keyword that locks a monitor and releases it automatically at block exit. ReentrantLock is an explicit lock that adds tryLock with timeout, interruptible locking, fairness options and multiple Condition objects, but you must unlock in a finally block. Both are reentrant. Prefer synchronized for simple cases and ReentrantLock when you need its extra features.
Transient: a new object not yet linked to a persistence context. Managed (persistent): attached to the context, so changes are tracked and flushed automatically through dirty checking. Detached: was managed but the context closed or it was evicted; changes are not tracked until merge(). Removed: scheduled for deletion on flush. persist, merge, detach and remove move entities between these states.
36
What is the difference between HashMap, LinkedHashMap and TreeMap?
HashMap gives O(1) average operations with no ordering guarantee. LinkedHashMap keeps insertion order, or access order if configured, which helps build an LRU cache. TreeMap keeps keys sorted by natural order or a Comparator with O(log n) operations and supports range methods like floorKey and headMap. HashMap allows one null key; TreeMap does not allow null keys with natural ordering.
Frequently asked questions
Which companies hire Java professionals in Delhi?
Companies with large offices in Delhi include many IT services and product firms. Use their company pages below to practise employer-specific sets.
Are Java interviews in Delhi different from other cities?
The questions depend more on the company than the city. Delhi's mix of employers decides the style: Delhi itself hosts many corporate, government-tech and consulting offices, and most candidates also apply across Noida and Gurgaon, so interviews here mix service-company and product-company styles
How do I find Java jobs in Delhi?
Shortlist companies with Delhi offices, keep your CV focused on Java projects, apply on company career pages and job portals with the Delhi filter, and practise the questions on this page before each interview.